Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

• المؤلفون الرئيسيون: Shi, Qiushi, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Weighting Methods; Pruning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164112
• المؤسسة: Nanyang Technological University

In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose novel variants of the edRVFL network. Weighted edRVFL (WedRVFL) uses weightin...